Abstract
Melanoma is a type of skin cancer and is caused by the uncontrolled growth of atypical melanocytes. In recent decades, computer aided diagnosis is used to support medical professionals; however, there is still no globally accepted tool. In this context, similar to state-of-the-art we propose a system that receives a dermatoscopy image and provides a diagnostic if the lesion is benign or malignant. This tool is composed with next modules: Preprocessing, Segmentation, Feature Extraction, and Classification. Preprocessing involves the removal of hairs. Segmentation is to isolate the lesion. Feature extraction is considering the ABCD dermoscopy rule. The classification is performed by the Support Vector Machine. Experimental evidence indicates that the proposal has 90.63 % accuracy, 95 % sensitivity, and 83.33 % specificity on a data-set of 104 dermatoscopy images. These results are favorable considering the performance of diagnosis by traditional progress in the area of dermatology.
Highlights
The presence of melanocytic skin lesions is becoming increasingly more common, and early detection becomes vital for decision making regarding the treatment to be followed
There are several segmentation methods for melanocytic lesions due to the important role that they play in a diagnostic system
In [49] a comparison of 6 segmentation methods applied to melanoma were carried out, where it was concluded that the AS (Adaptive Snake) and EM-LS (Expectation Maximization Level Set) methods were strong and useful for the segmentation of the lesion in a computer-aided diagnostic system in order to help the clinical diagnosis of dermatologists
Summary
The presence of melanocytic skin lesions is becoming increasingly more common, and early detection becomes vital for decision making regarding the treatment to be followed. There are two types of melanocytic lesions: the benign or nevus and the malignant or melanoma. The latter is a skin cancer produced by the uncontrolled growth of melanocytes [1]. This disease could be asymptomatic for the patient, especially in the early stages, so the dermatological inspection is vital [2]. Diagnosis of melanoma is crucial due to the absence of effective treatments in advanced disease [5]
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